ROC curve comparison for different machine learning algorithms. by Shaik Ahamed Fayaz (19859670)

Subjects:

The principle of sample data augmentation. by Wenbing Shi (5806160)

Subjects:

Comparison of federated learning algorithms. by Duy-Dong Le (22057362)

Performance of machine learning algorithms. by Wenxue Liu (6877754)

USDA-ARS Tucson, Arizona 2014-2022 Data Reservoir of Field Experiments with Managed Honey Bee Colonies: Annotated Hive Frame Photos: Dataset I by Vladimir Kulyukin (21983990)

“…,</p><p dir="ltr">2020_02_27_RR_Hive_Directions_IMG_2540_VK.PNG</p><p dir="ltr">2020_02_27_RR_Hive_Directions_IMG_2540_VK.xml</p><p dir="ltr">2020_02_27_RR_Hive_Directions_IMG_2540_VK.txt</p><p dir="ltr">Each PNG is annotated for the following categories:</p><p dir="ltr">(1) CappedHoneyCell </p><p dir="ltr">(2) CappedWorkerBroodCell</p><p dir="ltr"> (3) EmptyCombCell</p><p dir="ltr">(4) PollenCell</p><p dir="ltr"> (5) UncappedNectarCell</p><p dir="ltr"> (6) UncappedWorkerLarvaCell</p><p dir="ltr">(7) BeeHiveFrame</p><p dir="ltr">The counts on the number of annotated region of interest (ROI) images are as follows:</p><p dir="ltr">CappedHoneyCell: 19,723</p><p dir="ltr">CappedWorkerBroodCell: 21,456</p><p dir="ltr">EmptyCombCell: 20,655</p><p dir="ltr">PollenCell: 13,406</p><p dir="ltr">UncappedNectarCell: 11,009</p><p dir="ltr">UncappedWorkerLarvaCell: 18,283</p><p dir="ltr">BeeHiveFrame: 1001</p><p dir="ltr">Each such ROI can be extracted into a separate image and used in training machine learning algorithms.</p><p dir="ltr">The subdirectory SRC/ contains two Python scripts that can convert XML to TXT and TXT to XML: xml_to_txt_converter.py and txt_to_xml_converter.py.…”

DCA curves on testing data of eight machine learning algorithm models. by Xin Liu (43569)

“…<p>DCA curves on testing data of eight machine learning algorithm models.</p>…”

Prediction of pharmaceuticals occurrence based on sales data and Machine learning algorithms. by Júlia Bijos (14489543)

ROC curves on testing data of eight machine learning algorithm models. by Xin Liu (43569)

“…<p>ROC curves on testing data of eight machine learning algorithm models.</p>…”

Calibration curves on testing data of eight machine learning algorithm models. by Xin Liu (43569)

“…<p>Calibration curves on testing data of eight machine learning algorithm models.</p>…”

The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

Subjects:

Video 2_Replicating associative learning of rodents with a neuromorphic robot in an open-field arena.mp4 by Tianze Liu (13922196)

Video 1_Replicating associative learning of rodents with a neuromorphic robot in an open-field arena.mp4 by Tianze Liu (13922196)

Confusion Matrix for Subspace algorithm (3000 Learning Cycles) providing insight into the performance evaluation of Subspace algorithm. by Sadia Nazim (21440115)

Framework of the proposed algorithm. by Jia Li (160557)

Subjects:

Comprehensive performance comparison of machine learning algorithms for classification. by Daowei Chen (9077770)

Classification results of deep learning algorithms with image features. by Daowei Chen (9077770)

Comprehensive performance comparison of deep learning algorithms for classification. by Daowei Chen (9077770)

Classification results of machine learning algorithms with image features. by Daowei Chen (9077770)

Correlation matrices of handcrafted features before and after feature selection. The figure presents two heatmaps illustrating the correlation among 52 handcrafted features derived... by Quang Dung Dinh (20995766)

The optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)